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Relevant bibliographies by topics / Manning's roughness coefficient

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Academic literature on the topic 'Manning's roughness coefficient'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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Journal articles on the topic "Manning's roughness coefficient"

1

PK Bora and TBS Rajput. "Spatial and Temporal Variability of Manning's n In Irrigation Furrows." Journal of Agricultural Engineering (India) 40, no. 3 (2003): 35–42. http://dx.doi.org/10.52151/jae2003403.1044.

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Manning's roughness coefficient, n, as a property of space is found to be variable. But its variability is assumed as insignificant in the design of irrigation systems. However, the variability may affect the performance of irrigation, particularly the distribution efficiency. Therefore, an understanding of the statistical behaviour of the variability of n in space and over the crop season may help in improving the models of irrigation system design. In this study, the variability of Manning's roughness coefficient in time and space along the furrow under potato crops was studied. Roughness co

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Lamichhane, Suraj, Nirajan Devkota, Sarita Dawadi, and Jebin Tamrakar. "Estimation of hydraulic parameter (Manning’s roughness coefficient) in mountainous river at middle stage of Hindu Kush Himalaya region." Journal of Innovations in Engineering Education 6, no. 1 (2023): 134–41. http://dx.doi.org/10.3126/jiee.v6i1.61092.

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Manning's roughness coefficient (n) holds significant importance within a hydrodynamic model, yet its value is notably subject to variation, influenced by both time and specific site conditions. Determining the appropriate value for 'n' is a challenging endeavour, particularly in natural watercourses, given the multitude of factors that impact this coefficient. The research unveils findings from a hydraulic model, examining the fluctuation of Manning’s roughness coefficient concerning discharge, thereby influencing the flow depth in the mountainous areas of Nepal situated within the middle sta

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Hadi Sahib, Jumana, ., and . "Prediction the Manning’s Coefficient by HEC-RAS for Al-Meshkab River." International Journal of Engineering & Technology 7, no. 4.37 (2018): 76. http://dx.doi.org/10.14419/ijet.v7i4.37.23620.

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The Manning's coefficient represents the roughness characteristics of the channel, which directly affects open channel calculations. In this study, it been calculated which estimation of Manning's coefficient (n) by some of the collected data .The remaining data is utilized for check of the model testing with actual data, which is called verification. The model was adopted by a one-dimensional mathematical by using the HEC-RAS program. The region was studied at the upstream of the Al-Meshkab Barrage, where data were collected in 2010. The coefficient of Manning's roughness (n) is given well ag

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Zhang, Shengtang, Yuanchen Liu, Jingzhou Zhang, Ying Liu, and Zhikai Wang. "Theory and preliminary experimental verification of the directional difference of overland flow resistance in distributed hydrological models." Water Supply 18, no. 6 (2018): 2142–50. http://dx.doi.org/10.2166/ws.2018.040.

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Abstract Overland flow is influenced by the spatial variability of the watershed surface and the distribution of vegetation in the process of confluence. Thus, Manning's roughness coefficient, in different directions on the slope, has different values. This causes different effects on the resistance to flow in the downstream direction of each grid cell, affecting the flow distribution among the grid cells of a distributed hydrological model. To show that the spatial variation of the overland vegetation had the effect of directional difference resistance to the overland flow, this study used an

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Sihag, Parveen, Balraj Singh, Md Azlin Bin Md Said, and H. Md Azamathulla. "Prediction of Manning's coefficient of roughness for high-gradient streams using M5P." Water Supply 22, no. 3 (2021): 2707–20. http://dx.doi.org/10.2166/ws.2021.440.

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Abstract The coefficient of Manning's roughness (n) has been generally implemented in the determination of depth and discharge in open channels and canals. This study unravels the novel idea and potential of Random Forest (RF), M5P, and Random Tree (RT) approaches to evaluate and predict the coefficient of Manning's roughness for hydraulic designing. To achieve this purpose, 42 observations were collected for high-gradient streams in Colorado, USA. All the observations were from boulder-bed, cobble and high gradient (S &gt; 0.002 m/m) streams within bank flows. In order to ascertain the be

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Ye, Aizhong, Zheng Zhou, Jinjun You, Feng Ma, and Qingyun Duan. "Dynamic Manning's roughness coefficients for hydrological modelling in basins." Hydrology Research 49, no. 5 (2018): 1379–95. http://dx.doi.org/10.2166/nh.2018.175.

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Abstract Manning's roughness coefficient (n) has a significant impact on routing in hydrological models. However, computational methods for dynamic roughness coefficients are of little concern in current research. Few studies have produced spatial-temporal distributions of the roughness coefficients in basins. In this study, a formula to calculate the n value was established based on a statistical analysis of estimated n values by Manning's formula. The routing model of a distributed hydrological model was then improved using the new formula to calculate n. The roughness coefficient is not a c

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Kung, Chen Shan. "Uncertainty in Dam Break Flow Simulation." Hydrology Research 20, no. 4-5 (1989): 249–56. http://dx.doi.org/10.2166/nh.1989.0019.

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The flow caused by a dam breaking across its entire length can be approximated by a one-dimensional, unsteady flow model in form of the St. Venant equations. In this model, the flow is governed by the river geometry and the river roughness, which is quantified by Manning's coefficient. The roughness characteristics are generally difficult to estimate under natural conditions. Thus, the estimates of the Manning's coefficient will in general be subject to uncertainty. In this paper, the uncertainty in the discharge and depth hydrographs due to the uncertainty in estimating the roughness characte

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Yang, Tsun-Hua, Yu-Chi Wang, Shun-Chung Tsung, and Wen-Dar Guo. "Applying micro-genetic algorithm in the one-dimensional unsteady hydraulic model for parameter optimization." Journal of Hydroinformatics 16, no. 4 (2013): 772–83. http://dx.doi.org/10.2166/hydro.2013.030.

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Selection of an appropriate value for Manning's roughness coefficient could significantly impact the accuracy of a hydraulic model. However, it is highly variable and depends on flow circumstances, such as water stage and flow quantity; a stream's geomorphology, such as the fluvial process and river meandering; and physical conditions, such as the channel surface roughness and irregularities. Nevertheless, choosing proper roughness coefficients is not easy, especially with limited information and time in a practical application. Even it is done for a specific event it may not apply to another

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Gautam, Arjun. "Determination of Manning's Roughness Coefficient in Bijayapur Irrigation Canal, Kaski, Nepal." Himalayan Journal of Applied Science and Engineering 2, no. 2 (2021): 14–23. http://dx.doi.org/10.3126/hijase.v2i2.43879.

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The discharge in irrigation canal is to be determined for the proper allocation of water to the fields as per the crop-water requirement. Manning’s roughness coefficient is one of the major important parameters for estimating discharge in open channel. The purpose of this research is to determine Manning’s roughness coefficient in open channel flow by means of measuring velocity, cross-section, bed slope using Manning’s equation. It also discusses how it varies along with various aspects of channel geometry and draws useful conclusion from the analysis. The investigation was carried out in the

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Gautam, Arjun. "Determination of Manning's Roughness Coefficient in Bijayapur Irrigation Canal, Kaski, Nepal." Himalayan Journal of Applied Science and Engineering 2, no. 2 (2021): 14–23. http://dx.doi.org/10.3126/hijase.v2i2.43243.

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The discharge in irrigation canal is to be determined for the proper allocation of water to the fields as per the crop-water requirement. Manning’s roughness coefficient is one of the major important parameters for estimating discharge in open channel. The purpose of this research is to determine Manning’s roughness coefficient in open channel flow by means of measuring velocity, cross-section, bed slope using Manning’s equation. It also discusses how it varies along with various aspects of channel geometry and draws useful conclusion from the analysis. The investigation was carried out in the

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Dissertations / Theses on the topic "Manning's roughness coefficient"

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Devkota, Jay P. "Variation of Manning’s Roughness Coefficient with Diameter, Discharge, Slope and Depth in Partially Filled HDPE Culverts." Youngstown State University / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=ysu1340991250.

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Mangin, Steven F. "Development of an Equation Independent of Manning's Coefficient n for Depth Prediction in Partially-Filled Circular Culverts." Youngstown State University / OhioLINK, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=ysu1284488143.

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Plakane, Rūta. "Seasonal Variations of Manning’s Coefficient Depending on Vegetation Conditions in Tärnsjö, Sweden." Thesis, Uppsala universitet, Institutionen för geovetenskaper, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-325356.

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Hydrological models are used widely and they demand for multiple input variables and observations. One of those variables is Manning’s roughness coefficient. In the current literature the variability of the coefficient poses an unknown uncertainty. This study examines a small river channel located in central Sweden, and aims to determine the variability and uncertainty of the roughness coefficient during diverse vegetation conditions within the channel. During multiple field visits to the location, slope, water level and cross-section examination is performed. With numerical simulation, discha

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Pereira, Ludmilla Freitas. "Segurança de barragens no Brasil : um breve comparativo com a legislação internacional e análise da influência da cobertura do solo de APPs sobre manchas de inundação (estudo de caso da PCH Pedra Furada, Ribeirão–PE) /." Ilha Solteira, 2019. http://hdl.handle.net/11449/183530.

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Orientador: César Gustavo da Rocha Lima<br>Resumo: O Brasil, frente aos acidentes ocorridos em Mariana – MG (2015) e em Brumadinho – MG (2019), tem vivenciado inúmeras discussões no que tange à assuntos regulatórios e à confiabilidade das barragens construídas no país. Neste trabalho, inicialmente, fez-se um breve comparativo entre a legislação brasileira e alguns normativos internacionais (China, Portugal, Estados Unidos e África do Sul) sobre segurança de barragens, observando-se a existência de diferentes aspectos abordados entre eles. A Política Nacional de Segurança de Barragens se demons

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Smelík, Lukáš. "Návrh metodiky stanovení součinitele drsnosti otevřených koryt." Doctoral thesis, Vysoké učení technické v Brně. Fakulta stavební, 2015. http://www.nusl.cz/ntk/nusl-234558.

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Determination of immeasurable parameter, the Manning’s roughness coefficient, is a complex problem of open channel hydraulics for more than 200 years. Now it doesn’t exists a method for determining an exact value of 1D roughness coefficient for computation water levels in watercourses. Doctoral thesis is focused for comparing different approaches to determine a roughness coefficient, especially for empirical equations. It were sought empirical equations, which are suitable for wide spectrum of water stages, types of bed material, channel shapes and channel dimensions. Selected equations were s

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Jing, H., C. Li, Yakun Guo, L. Zhu, and Y. Li. "Numerical modeling of flow in continuous bends from Daliushu to Shapotou in Yellow River." 2014. http://hdl.handle.net/10454/10657.

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Yes<br>The upper reach of the Yellow River from Daliushu to Shapotou consists of five bends and has complex topography. A two-dimensional Re-Normalisation Group (RNG) k-ε model was developed to simulate the flow in the reach. In order to take the circulation currents in the bends into account, the momentum equations were improved by adding an additional source term. Comparison of the numerical simulation with field measurements indicates that the improved two-dimensional depth-averaged RNG k-ε model can improve the accuracy of the numerical simulation. A rapid adaptive algorithm was constructe

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Cheng, Hung Chao, and 鄭宏昭. "A Study on the Manning Roughness Coefficient of the Reinforced Concrete Grid Revetment Engineering." Thesis, 1998. http://ndltd.ncl.edu.tw/handle/85714813279308239768.

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Books on the topic "Manning's roughness coefficient"

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Jarrett, Robert D. Computer program NCALC user's manual: Verification of Manning's roughness coefficient in channels. U.S. Dept. of the Interior, Geological Survey, 1986.

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2

Arcement, George J. Guide for selecting Manning's roughness coefficients for natural channels and flood plains. U.S. G.P.O., 1989.

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Arcement, George J. Guide for selecting Manning's roughness coefficients for natural channels and flood plains. Dept. of the Interior, 1989.

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4

Phillips, Jeff V., and Saeid Tadayon. Selection of Manning's Roughness Coefficient for Natural and Constructed Vegetated and Non-Vegetated Channels, and Vegetation Maintenance Plan ... Arizona: USGS Scientific Report 2006-5108. ProQuest, UMI Dissertation Publishing, 2011.

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Book chapters on the topic "Manning's roughness coefficient"

1

"Manning’s (roughness) coefficient." In Dictionary Geotechnical Engineering/Wörterbuch GeoTechnik. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-41714-6_130439.

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2

"Manning Roughness Coefficient." In Soil and Water Conservation Engineering Seventh Edition. American Society of Agricultural and Biological Engineers, 2013. http://dx.doi.org/10.13031/swce.2013.b.

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3

He, Jian-Jing. "Manning’s roughness coefficient for different types of open channel flows." In Environmental Hydraulics and Sustainable Water Management, Two Volume Set. CRC Press, 2004. http://dx.doi.org/10.1201/b16814-279.

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4

Michioku, K., S. Kometani, T. Uotani, K. Kanda, Y. Irie, and K. Yanagida. "Analysis of equivalent Manning’s roughness coefficient for trees vegetated on floodplain." In River Flow 2014. CRC Press, 2014. http://dx.doi.org/10.1201/b17133-78.

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Lousada, Sérgio António Neves, Leonardo Gonçalves, and Erdem Kaya. "Hydraulic Planning in Insular Urban Territories." In Analyzing Sustainability in Peripheral, Ultra-Peripheral, and Low-Density Regions. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-6684-4548-8.ch005.

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This study aims to examine the flood propensity of the main watercourse of Porto da Cruz drainage basin and, if relevant, to propose two methodologies to alleviate the impacts (i.e., detention basin sizing and riverbed roughness coefficient adjustment). Geomorphological data were obtained from the watershed characterization process and used through the SIG ArcGIS software for the flood propensity assessment and then for the calculation of the expected peak flow rate for a return period of 100 years through the Gumbel Distribution. Subsequently, the drainage capacity of the river mouth was veri

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Conference papers on the topic "Manning's roughness coefficient"

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Banescu, Alexandru, Simionov Matei, Oliver Livanov, Paula Pindic, and Dragos Balaican. "EVALUATING FLOOD RISKS AND VULNERABILITIES IN CARAORMAN, DANUBE DELTA: INSIGHTS FROM HYDRAULIC MODELLING." In 24th SGEM International Multidisciplinary Scientific GeoConference 24. STEF92 Technology, 2024. https://doi.org/10.5593/sgem2024/1.1/s01.08.

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Rural areas and infrastructure in the Danube Delta are affected by natural disasters, and the frequency and severity of hydrological phenomena are increasing due to climate change. The rural areas of the Danube Delta experience significant flooding due to the high levels of the Danube, often resulting from quantitatively significant precipitation. The protection dyke system related to the Danube River is most often affected by floods that sometimes lead to the failure of the dykes. Dyke failure is noted by the appearance of one or more breaches in the body of the dyke that may extend along the

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Wong, Tommy S. W., and M. C. Zhou. "Re-Evaluation of Manning's Roughness Coefficient for Runoff over Concrete Surface." In Ninth International Conference on Urban Drainage (9ICUD). American Society of Civil Engineers, 2002. http://dx.doi.org/10.1061/40644(2002)300.

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Hossain, A. K. M. A., Yafei Jia, and Xiabo Chao. "Estimation of Manning's roughness coefficient distribution for hydrodynamic model using remotely sensed land cover features." In 2009 17th International Conference on Geoinformatics. IEEE, 2009. http://dx.doi.org/10.1109/geoinformatics.2009.5293484.

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Devkota, J. P., D. Baral, B. Rayamajhi, and H. M. Tritico. "Variation in Manning's Roughness Coefficient with Diameter, Discharge, and Slope in Partially Filled HDPE Culverts." In World Environmental And Water Resources Congress 2012. American Society of Civil Engineers, 2012. http://dx.doi.org/10.1061/9780784412312.170.

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Ahmadi, M. "Determination of Manning's Roughness Coefficients for Natural Channels and Rivers." In Symposium on the Application of Geophysics to Engineering and Environmental Problems 2007. Environment and Engineering Geophysical Society, 2007. http://dx.doi.org/10.4133/1.2924724.

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Ahmadi, M. "Determiniation Of Manning'S Roughness Coefficients For Natural Channels And Rivers." In 20th EEGS Symposium on the Application of Geophysics to Engineering and Environmental Problems. European Association of Geoscientists & Engineers, 2007. http://dx.doi.org/10.3997/2214-4609-pdb.179.0657-672.

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Nguyen, Van Tri, Didier Georges, and Gildas Besancon. "Adjoint-method-based estimation of Manning roughness coefficient in an overland flow model." In 2015 American Control Conference (ACC). IEEE, 2015. http://dx.doi.org/10.1109/acc.2015.7171023.

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"Roughness Manning Coefficient Variation in Irrigation Open Channels by Changing Width and Roughness Surface in the Armfield C4MKII Equipment." In 2015 ASABE International Meeting. American Society of Agricultural and Biological Engineers, 2015. http://dx.doi.org/10.13031/aim.20152188867.

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Attari, Mohammad, Mostafa Taherian, and Abdolmajid Mohammadian. "A New Approach for the Determination of Best Field Measurement Points to Estimate Manning’s Roughness Coefficient in Natural Rivers." In Proceedings of the 39th IAHR World Congress From Snow to Sea. International Association for Hydro-Environment Engineering and Research (IAHR), 2022. http://dx.doi.org/10.3850/iahr-39wc252171192022955.

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Reports on the topic "Manning's roughness coefficient"

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Bryant, Mary, Duncan Bryant, Leigh Provost, et al. Wave attenuation of coastal mangroves at a near-prototype scale. Engineer Research and Development Center (U.S.), 2022. http://dx.doi.org/10.21079/11681/45565.

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A physical model study investigating the dissipation of wave energy by a 1:2.1 scale North American red mangrove forest was performed in a large-scale flume. The objectives were to measure the amount of wave attenuation afforded by mangroves, identify key hydrodynamic parameters influencing wave attenuation, and provide methodologies for application. Seventy-two hydrodynamic conditions, comprising irregular and regular waves, were tested. The analysis related the dissipation to three formulations that can provide estimates of wave attenuation for flood risk management projects considering mang

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Computer program NCALC user's manual; verification of Manning's roughness coefficient in channels. US Geological Survey, 1985. http://dx.doi.org/10.3133/wri854317.

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Guide for selecting Manning's roughness coefficients for natural channels and flood plains. US Geological Survey, 1989. http://dx.doi.org/10.3133/wsp2339.

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